Performance analysis of MPI collective operations

Jelena Pješivac-Grbović, Thara Angskun, George Bosilca, Graham E. Fagg, Edgar Gabriel, Jack J. Dongarra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

100 Scopus citations

Abstract

Previous studies of application usage show that the performance of collective communications are critical for high-performance computing and are often overlooked when compared to the point-to-point performance. In this paper, we analyze and attempt to improve infra-cluster collective communication in the context of the widely deployed MPI programming paradigm by extending accepted models of point-to-point communication, such as Hockney, LogP/LogGP, and PLogP. The predictions from the models were compared to the experimentally gathered data and our findings were used to optimize the implementation of collective operations in the FT-MPI library.

Original languageEnglish
Title of host publicationProceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
PublisherIEEE Computer Society
Pages8
Number of pages1
ISBN (Print)0769523129, 0769523129, 9780769523125
DOIs
StatePublished - 2005
Externally publishedYes
Event19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 - Denver, CO, United States
Duration: Apr 4 2005Apr 8 2005

Publication series

NameProceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
Volume2005

Conference

Conference19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005
Country/TerritoryUnited States
CityDenver, CO
Period04/4/0504/8/05

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